Analyzing the Performance of a Digital Shadow for a Mixed-Model Stochastic System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2130-8_50
Reference28 articles.
1. Kuriakose RB, Vermaak HJ, Customized mixed model stochastic assembly line modelling using simulink, pp 2–7. https://doi.org/10.5013/IJSSST.a.20.S1.06
2. Liu Q et al (2021) Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system. J Manuf Syst 58(PB):52–64. https://doi.org/10.1016/j.jmsy.2020.04.012
3. Kuriakose R (2019) Optimization of a real time multi-mixed make-to-order assembly line to reduce positive drift. Central University
4. Zenisek J, Wild N, Wolfartsberger J, Zenisek J, Wild N, Wolfartsberger J (2021) Investigating the potential of smart manufacturing technologies investigating the potential of smart manufacturing technologies. Proc Comput Sci 180(2019):507–516. https://doi.org/10.1016/j.procs.2021.01.269
5. Wicaksono H, Ni T (2020) An automated information system for medium to short-term manpower capacity planning in make-to-order. Proc Manuf 52(2019):319–324. https://doi.org/10.1016/j.promfg.2020.11.053
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Performance Comparison Between a Digital Shadow and a Digital Twin in a Mixed Model Stochastic System;Lecture Notes in Networks and Systems;2024
2. Designing an Experimental Setup for Incorporating Data Provenance into Blockchain Smart Contracts in a Smart Manufacturing Environment;Advances in Science, Technology & Innovation;2024
3. Integrating IoT Sensors to Setup a Digital Twin of a Mixed Model Stochastic System for Real-Time Monitoring;Proceedings of Eighth International Congress on Information and Communication Technology;2023
4. Designing an Experimental Setup for Digital Twins in Modern Manufacturing—A Case Study Using a Water Bottling Plant;ICT Systems and Sustainability;2022-11-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3